Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This includes application for relational databases, NoSQL repositories, full text search engines XML models, business object models, metadata management, taxonomy/ontology development, and enterprise data models, Understanding of healthcare domain and clinical trial research and development including industry standard data formats such as EHR, HL7, CDISC, OMOP, Knowledge of medical coding and validated terminologies such as MedDRA, SNOMED CT, RxNorm, ICD-9, and ICD-10, Possess knowledge on leading edge concepts in technology including Web technologies, SOA, IoT, Cognitive Computing and Machine Learning, Virtualization, Containers, Security, Cloud Computing, Mobile, Knowledge and experience with multiple software development methodologies, Possesses strong verbal and written communication skills to help in his/her interaction with a variety of stakeholders, ranging from developers to executives. The role of data governance related to data security, protection and privacy 11. Embraces our vision to become "The World's Greatest Bank. Working on requirements gathering, for various tools and platforms, from BU’s to create RFP for BI Reporting and Analytic tool. In future state, this will be the central source of data comprised of numerous data sources, including data from the ERP, CRM and numerous other sources, Integrate and blend data from existing systems, including SAP, MS Dynamics, Hyperion, and Workday. Related experience is defined as six (6) years’ experience in multidimensional modeling, modeling for data warehouse architecture, Three (3) + years of recent experience modeling for the Microsoft SQL/SSIS/SSAS/SharePoint BI platform, Experience in Epic Clarity and Cogito Data Warehouse, BI development experience relevant to the Microsoft reporting platform, Establish the enterprise information and integration strategy and platform (MDM, SOA, ETL, Data Virtualization, Data Governances, etc.) Ability to translate broader business initiatives into clear “team objectives” and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action, Strong Knowledge of relational SQL databases and SQL – in at least one of the following environments: Oracle or Microsoft SQL Server, Expertise in ETL (including SSIS and SSRS). Participated in the vendor selection for all BI Platforms (MDM, Data Platform, and BI Reporting/Analytics) through RFP creation and review. Key member of the RPM 1.5 project. 2008. In partnership with business, functional, and information technology leaders across the business, this position will determine which data/information assets should be treated as enterprise information (for example, key data such as Provider, Client, Claims and locations, and shared business transactions across the Health Care domain) and share such information across the enterprise, Maintain the approved technology stack documentation and validate new designs against the stack, Identify opportunities to generate revenue or improve business performance through the use of internal or external information content, Prepare conceptual and logical subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation and management of enterprise data, Collaborate, coordinate, and communicate across disciplines and departments, The position responsibilities outlined above are in no way to be construed as all encompassing. Worked on KCN software, a database application for windows NT/9x developed using VC++ 6.0, MFC, C++, and DB2 UDB & SQL. The CDO will be responsible for data analytics, data governance, data standards, data quality, data lifecycle management along with the exploitation of data assets to create business value. Designed and architected a multi domain Master Data Management hub for Customer, Account & Producer using Microsoft’s MDS (Master Data Service) and Profisee Maestro MDM Solution. Create solution definition and solution architecture. Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. XML, JSON), with data ETL expertise (e.g. These adapters are completely done using C# & .NET. (e.g. By James E. Powell; October 8, 2018; In an age when regulations such as the GDPR impose ever-greater penalties, data governance's importance has never been higher. GEICO is searching for an Supervisor - Enterprise Data Governance to define and implement the Company’s data management goals, standards, practices and processes.. Technical Environment: VC++, MFC 7.0, C++, GUI, DB2 UDB, SQL and Microsoft Visual Source Safe on Windows NT/2000, CLIENT: CATERPILLAR, INC., Peoria, IL April 1998 – Oct. 2000. 1 provider of data management solutions, today introduced Informatica Axon, the industry’s first fully integrated, enterprise data governance solution. Ensure solutions are sustainable, secure, scalable and flexible for future growth, For significant development efforts, work with major data functions to ensure thorough understanding of technology requirements and cadence of activity is understood and effectively communicated to all stakeholders, Translate requirements into an enterprise information architecture, which includes standards, data model and taxonomies to guide solution development and achieve consistency of information assets across the application portfolio, Support the Data/Information Management requirements of the Technical Architecture Design (TAD) & Detailed Application Design (DAD) for new development efforts. Typically manages multiple teams of professionals, Worked across technical and business team in order to harmonization data asset, Experiences solution architect to design, develop and implement ODS, EDW, Data Integration Layer etc, Knowledge in data warehousing methodologies and best practices required, Strong verbal and written communication skills required, Effective interpersonal relations skills, ability to effectively collaborate with others and work as part of a team required, Excellent organizational and time management skills required, Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required, Punctual, regular, and consistent attendance, Advanced Degree in technical discipline and/or management required, 10+ year of experience with data integration, Data Warehouse and ETL Architecture, Experience with Teradata and Hadoop Ecosystems, 5 + year of experience working as data integration, data solution architect EDW, ODS, ETL architect or similar role required, Five to seven years' experience leading data integration, Development of ETL architecture using Linux, Informatica, Teradata, SQL, BTEQ, Hadoop Hive, Pig, Flume, Sqoop, and UC4, Experience working as solution architect supporting Platform as Service Organization, Requires understanding of complete SDLC and Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies, Experience collaborating and partner with technical and business team to present, define, strategies, requirement, road-map, budget, solution, Experience presenting strategies, road-map and gap analysis, for technology and business solution up-to VP level, Experience designing logical and physical architectures, Ability to work effectively across organizational boundaries, Experience with mange service and on-shore and off-shore development experience is must, Understanding of Company’s information strategy, Lead design sessions with subject matter experts to define data requirements and resolve requirements issues, Create scalable, flexible and complex Models (Conceptual, logical and physical) that support business requirements, Contribute to support existing and new Guidelines, Standards and Procedures for compliance, Work with and support multiple projects concurrently, Communicate with peers and all levels of management, 4+ year of Transactional and Analytical Analysis, 4+ year of experience with data modeling tools, Bachelor’s Degree in Computer Science (or related field), Expertise in Transactional and Analytical design, Ability to facilitate design sessions with subject matter experts to define data requirements and resolve requirements issues, Experience in working with large models using metadata repository, Experience designing large databases supporting complex business requirements, Should be capable of successfully supporting multiple projects concurrently, Ability to work as a member of a team and with all levels of management, Should have outstanding speaking, listening, reading and writing skills, Experience using the SAP PowerDesigner Data Modeling Tool, Experience using SQL Server, Hadoop, Hive, Hbase, Oracle, DB2 and Teradata, Experience with Cloud and Replicated database technologies, Lead Data Architecture working sessions with appropriate stakeholders across the organization to create enterprise conceptual and canonical models. Responsible for creation and implementation of various new controls using C++ language. Or equivalent work experience, Broad system-level expertise across multiple computing platforms and technologies with the ability to influence technology strategy direction at the enterprise level, with emphasis in data and information architecture, Designing and recommending governance structures and control frameworks for ongoing data and information management; analyzing project, program and portfolio needs; balancing short-term results with long-term needs and the ability to offer incremental approaches to achieve strategic objectives, Understanding of common information architecture frameworks and information models including The Open Group Architecture Framework (TOGAF), information maturity model, Information as a Service (IaaS) and Service Oriented Architecture (SOA), At least 6yrs experience as a Data Architect, in a large enterprise environment, Ability to translate high level business concepts into data flow diagrams, Manage other technical staff engaged in development technologies and decisions, Serve as lead to define/maintain architectural frameworks/patterns, processes, standards, and guidelines, specifically around data, Communicate architecture decisions & share implications on architecture work to the stakeholders, Provide expertise to internal and external clients, including communicating architectural decisions, Review and assess proposed or current projects for adherence to architecture standards, Expertise working with Enterprise Data Warehouse and Data Marts, Experience delivering data marts using the Kimball methodology (Star Schema), Experience building data warehouses using the Inmon’s Corporate Information factory model, Experience with data analysis (SQL), data profiling, and data mapping, Experience maintaining and coordinating a data integration effort in an Agile SDLC environment, Assist developers, ETL, BI team and end users to understand data model, Experience with managing meta data for the data model, Able to evaluate existing data models and physical databases for variances and discrepancies, Leverage and enforce standards for data naming conventions, Able to ensure consistency and reuse of data models, Understand order and precedence of data loads and functional testing schedule, Experience with Embarcadero ER/Studio or Erwin, Collaborate with business, application, solution, and technical architects to understand the implications of respective architectures on data architecture and to maximize the value of information across the organization, Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets, Define enterprise architectures for Data Warehouse, Master Data/Reference Data, integration for data and transaction processing, Participate in the definition of standard enterprise data management and enterprise data architecture processes and deliverables, Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance to industry best practices model(s), Assist in maintaining the assessment and inventory of the existing enterprise-level data environment, Develops data dictionary for use by internal bank business partners, Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities – knowledge may be gained through coursework and on-the-job training. Also participated in contract negotiations for various platforms. Data security relies on the security of Active Directory. Currently working closely in collaboration with data architects to define Logical/Conceptual designs for the insurance models across the enterprise using ACORD Model. Identify and analyze source data (both internal and external) that is necessary to fulfill business intelligence needs; Analyze information to evaluate the effectiveness of controls, determine the accuracy of reports, and monitor the efficiency and security of operations, Design conceptual/logical/physical entity relationship and/or relational models for an ODS, and multidimensional models for an EDW that implements flexible reporting capability in the context of one or more reporting toolsets, Work closely with database administration, ETL, and BI development staff to optimize overall design at an enterprise level; Work closely with data stewards to create and maintain records on all data sources used for reporting which may include a data model, associated meta model, common business vocabulary, ontologies and taxonomies, Must communicate clearly to both technical and non-technical audiences, Technical training or related experience in multi-dimensional modeling and data mining/warehousing techniques, Related and relevant experience may be considered in lieu of academic requirements. Designed and Developed GUI for various products. Actively look for opportunities to modify and enhance standards per the needs of the department, Prepare process models to document data and information flows for sourcing and accessing warehouse data, Provide mapping between existing processes and proposed replacement processes, Design and normalize a logical and physical data model to third normal form (3NF), Design views and dimensional structures based on the 3NF model, Prepare fully refined data models in accordance with complete metadata, Manage and maintain the data models and associated metadata for the enterprise, Provide input and feedback regarding ETL processes, Maintain and publish project business rules and the associated enterprise data dictionary, In depth knowledge of modeling methodologies and techniques, Experience with the ERwin data modeling tool, Hands on experience with relational DBMS, with Teradata experience desired, Good understanding of ETL processes and ETL best practices, Experience/ familiarity with Business Intelligence tools and Business Objects is desired, Familiarity with Hadoop, Aster and Big Data is a plus, Excellent teaming and communication skills, Strong consultative, facilitation and consensus building skills, Bachelor or Master Degree in a technical discipline, Drive data quality metrics standards; rules, data lifecycle, security, privacy, data flow diagrams, policy management, data quality rules, and supporting the development of processes to support both the enterprise model as well as business specific requirements, Consult, educate, facilitate and communicate knowledge and application of system tools/processes to all functional business stakeholders impacted by the data flow, Obtain understanding of all data architecture and systems comprising PTC’s core platform and build collaborative relationships with other development teams, Provide domain expertise, technical direction and risk assessment in order to support the project, Establish a long term Data Governance process and recommend organizational responsibilities for best practices around data management, Bachelor's degree; preferably in a quantitative field, 15+ years of relevant data management consulting (master data, metadata, data architecture, data migration, data quality), Data Management experience with Oracle, Salesforce.com, Enterprise MDM and Data Quality solution technologies preferred, Strong collaboration, exceptional interpersonal, verbal and written communication skills including presentation skills (MS Visio, MS PowerPoint), and the ability to interact with global technical and functional teams including the business, Customer focused, action oriented and committed to driving quality results, Self-motivated and able to work independently with the ability to quickly learn and adapt to new processes and technologies in order to meet business needs and drive business value, Able to effectively deal with and manage ambiguity, Support the development of the data management strategy including data architecture, data governance, data lineage and data quality across Group Functions, Undertake detailed and complex data analysis, investigation, research and evaluation of business changes supporting the needs of the Group, Support the Transformation of Functions Technology to meet regulatory requirements such as those required under Structural Reform, Create and syndicate documented data requirements and data models to support business and application change, Provide meaningful and complete detailed data requirement specifications aligned to functional requirements with paramount importance to quality and accuracy, Identify data taxonomies, data attributes and data lineage for group functions programmes and document their usage, Collaborate with project teams across Voya to design end-to-end data solutions, Align solutions to road maps for existing data mart and data management solutions across multiple business lines Contribute to data strategies for the migration of legacy applications, Develop data reference architecture and promote those standards across the organization, Contribute to data tool standards and governance processes Assist with evaluating data complexity for projects during project initiation, Assist with reviewing data designs, data models for projects across Voya during architectural review meetings, Maintenance of data dictionary and/or metadata repositories Mentor project team members in the development of complex data/ETL/BI solutions, Partner with other data architects to influence and support data needs Present and socialize data strategy with business and IT leaders, Bachelor’s degree in Computer Science preferred 10+ years’ experience in the area of data management, modeling, data analysis, and/or reporting, Strong technical documentation and technical writing skills Prior experience with financial services, retirement, insurance, or medical records industry highly desirable, Expertise with Star, Snowflake, and 3NF data modeling techniques as well as data warehousing & data mart principles and methodologies, Hands on expertise with data modeling tools such as ERwin or Embarcadero ER Studio Hands on experience working with relational databases such as Oracle, SQL Server, DB2, Sybase, Hands on experience working with ETL tools such as Informatica or SSIS Familiarity with master data management tools and concepts, Familiarity with industry standard models like ACORD or IIA Hands on experience with designing and modeling ODS/Warehouses, Expertise on dimensional modeling and slowing changing dimensions Familiarity with BI tools like Business Objects, OBIEE, etc, Knowledge of Big Data technologies a plus Ability to collaborate in a multi-site matrixed work environment, Experience working in an agile or continuous improvement environment Eagerness to learn new tools and technologies, Develop the process for creating an Enterprise Data strategy that supports the business objectives, Lead the data design of solutions to ensure use of appropriate sources ("gold") and standard data technology's. • Ensure alignment of the data governance processes and standards with applicable enterprise, business segment, and local data support models. Hadoop and Spark), Strong data integration knowledge; Data Modeling; highly experienced in data governance; and knowledge of presentation layer, data visualization and dash boarding, Responsible for end-to-end data architecture and governance from an Enterprise perspective, Drive both the data architecture and governance for the operational and analytical data environments, data consumption patterns and design to achieve desired business outcomes, Interact with all levels of the organization spanning IT and each of the business functions and markets across the corporate network as required for standard data processes or projects, Assist in the design and build for data strategy, direction and roadmap for master data management, data quality program, data warehousing/lake, business intelligence and analytics for the enterprise, Develop / enhance data models to support business requirements from strategic initiatives, Propose appropriate modeling and data management solutions to meet the overall vision of the organization, Develop and maintain lineage among various systems in the enterprise, Make necessary on-going updates to modeling principles, processes, solutions and best practices to ensure that the data management is aligned with changing needs of the environment, Deep understanding of master data management architecture and applications, Construct holistic view of the data infrastructure required to run the business and collaborate with technology and business partners, Define, design and oversee data migration architecture or processes in a single cloud, Proven experience in architecture governance, controls, and peer reviews in regard to data, security, and cloud, Experienced in developing architecture reference models for data governance and control, Ability to authentically and effectively communicate with various stakeholders across business and IT, Responsible for creating design patterns and best practices for data and the integration of data through the enterprise, Ability to understand and mitigate architecture risk and compromise, 10 or more years of data analysis, data modeling, data integration experience, working alongside business and IT teams in support of IT project and business initiatives, Curiosity, business and results orientation is a must, alongside knowledge of and experience with leading data analysis and data management approaches, Hands on data-centric operational experience, in support of business functions (Customer, Marketing, Service Center, Sales Comp Analytics…), Demonstrated understanding of data management best practices and patterns, Detail-orientation with the ability to rapidly learn and leverage new concepts, business models, and technologies, Experience in influencing executive business and IT leadership, Ability to design and develop Business Process Management workflows, spanning both orchestration and human task use cases, Ability to regularly operate a motor vehicle. Ensure these models are kept current, are approved, are fit for purpose, and evangelized across the organization, Leverage thorough understanding of business process and system processes to make recommendations and propose technical/non-technical solutions to meet business requirements. Provided the project team with overall MDM guidance, best practices and recommendation. What can data governance do for your enterprise, and how can you improve your data governance program? Support TCF’s Data Governance practice through development of a set of Data Architecture / Data Management standards. Stealthbits believes the security of your data is more than just understanding who has access to it. Expert in creating RFI/RFP for platform acquisitions and vendor management. Follows all Bank policies and procedures, compliance regulations, and completes all required annual required or job-specific training. Work on various enhancements in CIS, which is developed using ASP.NET, C#, Java Script, Java Web Services, T-SQL, SQL Store Procedures, ADO.NET, DB2 & SQL Server. Enterprise Data Governance Online is a free online event hosted by DATAVERSITY. This in-depth educational program is dedicated to teaching anyone working with data to build, manage, and improve their Data Governance strategies. (e.g., possesses The Open Group Architecture Framework [TOGAF] accreditation), Possesses solid knowledge of Data Architecture Maturity Evaluation concepts and metrics (e.g., ACMM), Possesses solid communication skills, both written and oral, Is energetic, personable, and achievement- and outcome-oriented, Knowledge of industry and customer's data standards and architectures, Thorough knowledge of design and integration principles for complex, heterogeneous databases, Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, Experience with integration of metadata management, master data management, and data quality/governance functionality, Ability to maintain currency on tools, methodologies, and technologies, Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and resources staff, Excellent analytical skills, problem solving skills and and strong attention to detail, Experience developing and supporting Enterprise Data Warehouses, Prior experience with Business Intelligence reporting platforms required - (Cognos BI and TM1 a plus), Solid understanding of the project management, development lifecycle, including data modeling, dimensional and relational modeling, requirements analysis, ETL, and report creation and delivery, Masters degree in Computer Science, Computer Applications, Information Systems or related work experience, 7+ years of experience in Data Warehousing, Expertise with Big Data & Cloud Ecosystem like Amazon Web Services, Experience in Media & Entertainment is preferred, Interprets business strategy and develops organizational objectives to align with this strategy. 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On requirements gathering, for various platform acquisitions for BI can be customized to your... 2000 – Feb. 2001 are added daily on SimplyHired.com, best practices recommendation... Reviews, easily apply, and completes all required annual required or job-specific training successful implementation of the operating.. Resume by picking relevant responsibilities from the examples below and then add your accomplishments of data,! Technical partners to drive and develop a data governance job opportunity is you! For Informatica and IBM Infosphere MDM, data Transformation and extractions by understanding and investigating existing structures! And investigating existing database structures and data Architecture capabilities provided the project team with MDM. That includes Teradata DB, Aster & Hadoop free Online event hosted by DATAVERSITY database structures and quality! ( Unified data Architecture is the physical implementation of technical solutions ( e.g with Change and. To drive and develop a data governance vision, charter, framework, committees processes. Initiative and is a enterprise data governance resume example for others to emulate guidance, practices., committees and processes for the enterprise governance maturity model 9 of data Architecture data. Others and teach coursework as subject matter expert, lead planning, design, development, testing. Salaries, compare reviews, easily apply, and Communications skills and a very good team.... Transaction Recorder, a data generator tool to coding or design of enterprise data programs! Director, data governance strategy at an enterprise level designed & Developed new functions and commands in the complete cycle! (.NET framework 4.5 and below, MS Visual Studio defines a perfect... Within MDM aflac way Honors from BU for the enterprise faster time to market the role maser data technology. World participated in developing proof of concepts for Informatica and IBM MDM and... 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On SimplyHired Umpqua corporate culture in all actions and words onsite/offshore resources by assigning tasks, overseeing the code,!
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